Patents by Inventor Tristan Maidment

Tristan Maidment has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Specialized computer-aided diagnosis and disease characterization with a multi-focal ensemble of convolutional neural networks
    Patent number: 11817204
    Abstract: Embodiments discussed herein facilitate determination of whether lesions are benign or malignant. One example embodiment is a method, comprising: accessing medical imaging scan(s) that are each associated with distinct angle(s) and each comprise a segmented region of interest (ROI) of that medical imaging scan comprising a lesion associated with a first region and a second region; providing the first region(s) of the medical imaging scan(s) to trained first deep learning (DL) model(s) of an ensemble and the second region(s) of the medical imaging scan(s) to trained second DL model(s) of the ensemble; and receiving, from the ensemble of DL models, an indication of whether the lesion is a benign architectural distortion (AD) or a malignant AD.
    Type: Grant
    Filed: December 9, 2020
    Date of Patent: November 14, 2023
    Assignees: Case Western Reserve University, The United States Government as Represented by The Department of Veteran Affairs
    Inventors: Anant Madabhushi, Nathaniel Braman, Tristan Maidment, Yijiang Chen
  • SPECIALIZED COMPUTER-AIDED DIAGNOSIS AND DISEASE CHARACTERIZATION WITH A MULTI-FOCAL ENSEMBLE OF CONVOLUTIONAL NEURAL NETWORKS
    Publication number: 20210174504
    Abstract: Embodiments discussed herein facilitate determination of whether lesions are benign or malignant. One example embodiment is a method, comprising: accessing medical imaging scan(s) that are each associated with distinct angle(s) and each comprise a segmented region of interest (ROI) of that medical imaging scan comprising a lesion associated with a first region and a second region; providing the first region(s) of the medical imaging scan(s) to trained first deep learning (DL) model(s) of an ensemble and the second region(s) of the medical imaging scan(s) to trained second DL model(s) of the ensemble; and receiving, from the ensemble of DL models, an indication of whether the lesion is a benign architectural distortion (AD) or a malignant AD.
    Type: Application
    Filed: December 9, 2020
    Publication date: June 10, 2021
    Inventors: Anant Madabhushi, Nathaniel Braman, Tristan Maidment, Yijiang Chen